{"title":"利用并行编程实现fft在水下信号处理中的应用，对DSP和intel处理器进行了比较分析","authors":"U. Hamid, H. Shahzad, M. Irfan","doi":"10.1109/IBCAST.2013.6512175","DOIUrl":null,"url":null,"abstract":"This paper presents Fast Fourier Transform (FFT) benchmark results to measure and compare the performance of various DSP and Intel processors for underwater signal processing applications. This paper aims to show performance enhancement in Intel processors as compared to DSP processors by using parallel programming for implementing signal processing functions in real time. This paper provides results that show a significant decrease in FFT execution time on an Intel based Multicore processor using parallel programming. Therefore comparative analysis among different processor architectures presented in this paper will help the system designers in selecting an optimal processor for underwater signal processing applications.","PeriodicalId":276834,"journal":{"name":"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of DSP and intel processors by implementing FFTs using parallel programming for underwater signal processing applications\",\"authors\":\"U. Hamid, H. Shahzad, M. Irfan\",\"doi\":\"10.1109/IBCAST.2013.6512175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents Fast Fourier Transform (FFT) benchmark results to measure and compare the performance of various DSP and Intel processors for underwater signal processing applications. This paper aims to show performance enhancement in Intel processors as compared to DSP processors by using parallel programming for implementing signal processing functions in real time. This paper provides results that show a significant decrease in FFT execution time on an Intel based Multicore processor using parallel programming. Therefore comparative analysis among different processor architectures presented in this paper will help the system designers in selecting an optimal processor for underwater signal processing applications.\",\"PeriodicalId\":276834,\"journal\":{\"name\":\"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IBCAST.2013.6512175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBCAST.2013.6512175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis of DSP and intel processors by implementing FFTs using parallel programming for underwater signal processing applications
This paper presents Fast Fourier Transform (FFT) benchmark results to measure and compare the performance of various DSP and Intel processors for underwater signal processing applications. This paper aims to show performance enhancement in Intel processors as compared to DSP processors by using parallel programming for implementing signal processing functions in real time. This paper provides results that show a significant decrease in FFT execution time on an Intel based Multicore processor using parallel programming. Therefore comparative analysis among different processor architectures presented in this paper will help the system designers in selecting an optimal processor for underwater signal processing applications.
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